A novel design of a smart interactive guiding robot for busy airports

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The results of the experimental measurements of the non-calibrated program_

Number of measurements	Actual distance	Average prediction distance	Average error	Percent error average
1–10	1.2	1.19	0.01	0.83%
11–20	1.8	1.73	0.07	3.89%
21–30	2.4	2.01	0.39	16.25%

Keyword and label data sheet_

No	Keywork	Tag
1	Flight information, flight schedule, etc.	__label__#fly_schedule#
2	Station map, etc.	__label__#station_map#
3	Restaurant, cafeteria, food, food, etc.	__label__#restaurant#
4	Things not to bring on board, dangerous items, etc.	__label__#dangerous_object#
5	Smile, take photo, etc.	__label__#capture_photo#
6	Hello, hello robot, etc.	__label__#greeting#
7	bye bye, goodbye, thank you, etc.	__label__#goodbye#
8	give me information about the weather, etc.	__label__#weather#
9	…	…

Compare the distance measured results with the images in the laboratory environment_

Light conditions	Outside light	Light of the light bulb
In the practice room	50%	75%

Test result data sheet_

Researcher	Number of correct classifications	Number of times of misclassification	Number of times unclassifiable
1	26	2	2
2	28	1	1
3	27	2	1
4	23	4	3
5	29	0	1

Results of experimental measurements of the calibrated program_

Number of measurements	Actual distance	Average prediction distance	Average Error	Percent error Average
1–10	1.2	1.18	0.02	1.67%
11–20	1.8	1.76	0.04	2.22%
21–30	2.4	2.14	0.26	2.67%

Compare the distance measured results with outdoor images_

Light conditions	Harsh light	Weak outdoor light	Average outdoor light
Distance measurement ratio	52%	57%	90%